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of automatic recognition). Candidates should consult the DGES portal for more information at https://www.dges.gov.pt/en . All requests for automatic or level recognition made to the University of Coimbra (UC
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/ climate, risk engineering, data & AI (modelling, simulation, decision support), GIS and spatial analysis, analytical chemistry or toxicology, risk economics / management, law & governance, regulation
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, RADARSAT Constellation Mission (RCM), and ALOS-2/4. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Analysis
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physics, complex analysis, and dynamical systems. The statistics group research areas include biostatistics, Bayesian methods, environmental and ecological statistics, multivariate statistics, spatial and
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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Greek and/or Roman archaeology. Preference will be given to candidates whose work demonstrates strong engagement with digital archaeological methods, including (but not limited to) 3D modeling, spatial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 3 months ago
multisensory integration, such as motion systems, spatial navigation systems, balancing system for risk-reward decisions, and tracking and avoidance systems. [Work content and job description] (Upon hiring
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and